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About the Role:
We’re looking for an innovative ML Engineer to join our AI team and help design, prototype, and operationalize
advanced AI systems, including Retrieval-Augmented Generation (RAG) pipelines, MCP services, and agentic
workflows. You’ll work closely with Python Developers and MLOps Engineers to bring AI-powered features
from concept to production.
Key Responsibilities:
— Design, prototype, and iterate on AI models, RAG pipelines, MCP services, and agentic reasoning
systems.
— Develop AI-powered services using frameworks such as LangChain, LangGraph, CrewAI, LlamaIndex,
Haystack, and DSPy.
— Build and optimize prompts for AI-driven tasks like chat, summarization, information extraction, and
decision support.
— Integrate and tune vector databases (e.g., Chroma, FAISS, Pinecone, Qdrant) to optimize vector
search workflows.
— Collaborate with Python Developers to define service interfaces, APIs, and operational
requirements.
— Implement task decomposition, memory management, and tool-use strategies within agentic
systems.
— Monitor AI system performance, operational risks, and prompt evaluation metrics.
— Stay current with emerging AI frameworks, architectures, and best practices in AI observability and
evaluation.
Required Skills & Experience:
— Strong Python development skills with an emphasis on clean, scalable, and modular code.
— Hands-on experience working with LLMs and agent frameworks.
— Solid understanding of RAG architecture, vector search concepts (cosine similarity, MMR, late
interaction), and system design.
— Experience building multi-step agentic workflows and reasoning systems.
— Familiarity with AI performance metrics, model drift detection, and operational monitoring.
— Awareness of AI limitations, including latency, hallucination risks, and explainability challenges.
— Experience with DSPy or other prompt optimization tools is a plus.
— A curious, experimental mindset with a passion for testing emerging AI tools and frameworks.
— Bachelor’s degree in Computer Science or equivalent — preferred.
Why Join Us:
— Flexible Work Environment: Benefit from remote work options and a work-life balance that suits your lifestyle
— Collaborative Culture: Join a team that values open communication, teamwork, and continuous learning
— Professional Growth: Support your growth with covered professional courses, ongoing learning opportunities, and clear paths for career development
— Technological Expertise: Our technical team is always keeping up with new technologies, so we are open to experiments and new approaches
— Generous Benefits: Take advantage of paid vacation, sick leaves, and holidays to recharge and maintain your well-being
— Global Exposure: Work on exciting projects with an international focus, primarily serving the Western European and USA markets
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